Hostname: page-component-cd9895bd7-dzt6s Total loading time: 0 Render date: 2024-12-28T13:17:19.507Z Has data issue: false hasContentIssue false

A Differential Algebraic Method for the Solution of the Poisson Equation for Charged Particle Beams

Published online by Cambridge University Press:  28 November 2014

B. Erdelyi*
Affiliation:
Department of Physics, Northern Illinois University, DeKalb, IL, 60115, USA
E. Nissen
Affiliation:
European Organization for Nuclear Research, CH-1211 Geneva 23, Switzerland
S. Manikonda
Affiliation:
Advanced Magnet Lab, Palm Bay, FL, 32905, USA
*
*Email addresses:[email protected](B. Erdelyi), [email protected](E. Nissen), [email protected](S. Manikonda)
Get access

Abstract

The design optimization and analysis of charged particle beam systems employing intense beams requires a robust and accurate Poisson solver. This paper presents a new type of Poisson solver which allows the effects of space charge to be elegantly included into the system dynamics. This is done by casting the charge distribution function into a series of basis functions, which are then integrated with an appropriate Green's function to find a Taylor series of the potential at a given point within the desired distribution region. In order to avoid singularities, a Duffy transformation is applied, which allows singularity-free integration and maximized convergence region when performed with the help of Differential Algebraic methods. The method is shown to perform well on the examples studied. Practical implementation choices and some of their limitations are also explored.

Type
Research Article
Copyright
Copyright © Global Science Press Limited 2015 

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

[1]Henning, W., Shank, C. (Eds.), Accelerators for America's Future, Department of Energy, 2010.Google Scholar
[2]Chao, A. W., Chou, W. (Eds.), Reviews of Accelerator Science and Technology, World Scientific Publishing Co. Pte. Ltd., Singapore, 2008.CrossRefGoogle Scholar
[3]Dawson, J. M., Particle simulation of plasmas, Rev. Mod. Phys. 55 (2) (1983) 403447.CrossRefGoogle Scholar
[4]Hockney, R. W., Eastwood, J. W., Computer Simulation Using Particles, McGraw-Hill, New York, 1981.Google Scholar
[5]Terzic, B., Pogorelov, I., Bohn, C., Particle-in-cell beam dynamics simulations with a wavelet-based Poisson solver, Phys. Rev. ST Accel. Beams 10 (2007) 034201.CrossRefGoogle Scholar
[6]Hess, M., Park, C., A Multi-Slice Approach for electromagnetic Green's function based beam simulations, Proc. 2007 Particle Accelerator Conf., 2007, pp. 35313533.Google Scholar
[7]Prior, C., Space charge simulation, AIP Conf. Proc., 693 (2003) 3237.CrossRefGoogle Scholar
[8]Nissen, E., Erdelyi, B., Manikonda, S., Method to extract transfer maps in the presence of space charge in charged particle beams, Conf. Proc. C100523 (2010) 1967-1969.Google Scholar
[9]Nissen, E., Erdelyi, B., A New Paradigm for Modeling, Simulations and analysis of intense beams, Proc. HB2010, Morschach, Switzerland (2010) 534538.Google Scholar
[10]Nissen, E., Erdelyi, B., Manikonda, S., A self-consistent multi-processor space charge algorithm that is almost embarrassingly parallel, Conf. Proc. C1205201 (2012) 11281130.Google Scholar
[11]Gonzalez, D., Erdelyi, B., Charge density estimations with orthogonal polynomials, Conf. Proc. C1205201 (2012) 355357.Google Scholar
[12]Dragt, A. J., Lie Methods for Nonlinear Dynamics with Applications to Accelerator Physics, unpublished (2013).Google Scholar
[13]Berz, M., Advances in Imaging and Electron Physics, vol. 108, Academic Press, London, 1999.Google Scholar
[14]Makino, K., Berz, M., Cosy infinity version 9, Nucl. Instrum. Methods A 558 (2005) 346350.Google Scholar
[15]Duffy, M. G., Quadrature over a pyramid or cube of integrands with a singularity at a vertex, SIAM J. Numer. Anal. 19:6 (1982) 12601262.CrossRefGoogle Scholar
[16]Bulmer, M. G., Principles of Statistics, MIT Press, Cambridge Massachusetts, 1967.Google Scholar
[17]Lindsay, B. G., Basak, P., Moments determine the tail of a distribution (but not much else), The American Statistician 54:4 (2000) 248251.Google Scholar
[18]Press, W., Teukolsky, S. A., Vetterling, W. T., Flannery, B. P., Numerical Recipes in C++, Cambridge University Press, New York, 2002.Google Scholar
[19]Bassetti, M., Erskine, G., Closed Expression for the Electrical Field of a Two-Dimensional Gaussian Charge, Tech. Rep. ISR-TH/80-06, CERN (1980).Google Scholar
[20]Trefethen, L. N., Bau, D., Numerical Linear Algebra, Society for Industrial and Applied Mathematics, Philadelphia, 1997.CrossRefGoogle Scholar
[21]Reiser, M., Theory and Design of Charged Particle Beams, WILEY-VCH Verlag GmbH & Co., Weinheim, 2008.CrossRefGoogle Scholar
[22]Berz, M., Differential algebraic description of beam dynamics to very high orders, Part. Accel. 24 (1989) 109124.Google Scholar
[23]Griewank, A., Walther, A., Evaluating Derivatives: Principles and Techniques of Algorithmic Differentiation, Second Edition, Society for Industrial and Applied Mathematics, 2008.CrossRefGoogle Scholar
[24]Nissen, E., Erdelyi, B., An Implementation of the fast multipole method for high accuracy particle tracking of intense beams, Conf. Proc. C110328 (2011) 17821784.Google Scholar